Docs / 08-transformation/04-departments/finance
Finance — Department Transformation Plan
AI-first plan for PRIME PRODUCTS finance — cash-flow visibility on thin margins, receivables chasing, credit control for shipping clients, and margin analytics (wave 2).
Finance
Pilot wave 2 (M7). Impact: high. See the hub.
Current state (assumptions to validate)
Finance manages the money mechanics of a ~€23.7M-revenue wholesaler running on a net margin around 1.5% — meaning working capital, credit control, and margin discipline are existential, not administrative. Shipping clients pay on account with terms; some (owners/managers abroad) pay through agents, in multi-party chains where the invoice recipient, the vessel, and the payer differ. Defense and public-sector receivables follow their own slow, formal payment cycles. FX exposure exists on imports and some sales. Inventory ties up cash across bonded and free stock.
Assumptions — to validate in discovery: team ~4–6 (distinct from accounting); cash-flow forecasting in Excel from SoftOne exports; receivables chasing by individually written emails; credit limits maintained in SoftOne but reviewed informally; margin reporting after the fact, by period, rarely by order/segment; bank reconciliation partly manual. Pain points: cash-flow forecast effort and staleness, receivables aging with polite-but-slow chasing (English formal correspondence takes time), no early-warning on margin-eroding orders, month-end reporting crunch.
Target AI-first operating model
By M12 finance works from a weekly cash-flow view with AI-drafted commentary explaining movements (what changed, which receipts slipped, which segment drove it), instead of building the spreadsheet each time. Receivables chasing runs as a cadence: an agent drafts stage-appropriate reminders (friendly → firm → escalation) per customer in the right language and tone; the credit controller reviews and sends. Credit-limit reviews are triggered by behavior (aging deterioration, order spikes) rather than calendar. Margin outliers per order/segment surface daily. Humans own every external communication, all credit decisions, and forecasts as judgments — the AI does the assembly and the first-draft narrative.
AI use cases
| Use case | Pain addressed | Data needed | Complexity | Impact | Pilot |
|---|---|---|---|---|---|
| Receivables-chasing draft emails (staged tone, EN/GR, per-customer context) | Slow, inconsistent chasing on aging AR | SoftOne open items/aging, customer records, payment history | M | H | Y |
| Cash-flow commentary: weekly narrative on movements and forecast deltas | Manual Excel assembly, stale view | SoftOne AR/AP/bank data, order pipeline | M | H | Y |
| Credit-limit review briefs triggered by behavior signals | Informal, calendar-based reviews | SoftOne aging, order history, limits | M | M | N |
| Margin-outlier flagging per order/segment | Margin erosion found late (fatal at 1.5% net) | SoftOne order lines, costs, price lists | M | H | N |
| Month-end variance narrative (actual vs budget, by segment) | Reporting crunch | SoftOne GL/analytics, budget file | M | M | N |
| Payment-allocation suggestion for agent-paid multi-vessel remittances | Manual matching of lump payments | Bank statements, open invoices | M | M | N |
Process transformation opportunities
- Receivables cadence: from ad hoc chasing to a standing weekly cycle — agent drafts, controller approves, outcomes logged; escalation rules explicit.
- Cash-flow production: from monthly Excel rebuild to an automated weekly refresh + narrative, freeing analysis time.
- Credit control: event-driven reviews with documented briefs, feeding sales before quotes to at-risk accounts (link to sales assistant).
- Margin governance: daily outlier surfacing → weekly margin review with sales/procurement, closing the loop on pricing rules.
Required data sources
- SoftOne: open items/AR aging, AP, GL, order lines with cost/price, customer credit data, bank/cash accounts (module coverage — assumption, to validate).
- Bank statements (export or PSD2 feed); budget/forecast Excel files.
- Finance mailbox (remittance advices, customer payment correspondence).
Potential AI agents
- Receivables Chasing Agent — drafts staged reminder emails per aging bucket; credit controller approves every send.
- Cash-flow Commentary Agent — assembles the weekly view and drafts the narrative; finance manager approves before circulation.
- Margin Watch Agent — flags outlier orders/segments daily; advisory only, no approvals needed (read-only).
Automation opportunities
- n8n: weekly AR-aging extract → chasing-draft batch → controller queue.
- Scheduled daily margin-outlier report; monthly close checklist tracker.
- Bank-statement intake and pre-matching flow.
Required integrations
- SoftOne read (AR/AP, GL, orders, credit data) — see integrations; careful scoping — finance data is the most sensitive read scope in the program, per architecture.
- M365 Outlook (drafts into controller’s mailbox), Excel/SharePoint (budget files).
- Bank statement export (format per bank; PSD2 API optional, year-2).
KPIs
Aligned with the business layer of the KPI framework.
| KPI | Baseline | M12 target |
|---|---|---|
| DSO (days sales outstanding) | TBD (M2) | −10 days |
| Overdue AR >60 days (share of total AR) | TBD | −30% |
| Cash-flow forecast production time | TBD | −70% |
| Margin outliers reviewed within 48h | 0 | 100% |
| Chasing drafts sent with minor/no edits | TBD | ≥70% |
Risks
- Wrong or tone-deaf chasing email damages a key shipping relationship → per-customer tone profiles; controller approval mandatory; key accounts excluded from batch drafting.
- Financial data exposure through the assistant → strictest role scoping in the program; finance corpus segregated; access audited.
- Commentary hallucinating causes for movements → every narrative claim linked to the underlying figures; manager review before circulation.
- Over-trust in forecast narrative → forecasts labeled as drafts; finance manager owns the number.
Training needs
- Credit controller: chasing workflow, approval discipline (M6–M7).
- Finance manager/analysts: commentary review, NL querying of finance data with BI (M8).
- CFO-level: KPI dashboard, margin-review routine (M8).
Deliverables
- Receivables cadence + Chasing Agent (pilot M7, production M9).
- Automated weekly cash-flow pack with commentary.
- Margin Watch reporting; finance KPI dashboard.
12-month execution milestones
| Month | Milestone |
|---|---|
| M1–M2 | Discovery: AR process, forecast build walkthrough, data-scope definition, baselines |
| M3 | Finance data-access scoping agreed (security review) |
| M4 | Assistant onboarding (general use only, no finance corpus yet) |
| M6 | Finance read integration tested; controller training |
| M7 | Wave-2 pilot: receivables chasing drafts + cash-flow commentary |
| M8 | Pilot evaluation; margin-outlier reporting live |
| M9 | Agents in production; weekly cadence institutionalized |
| M11 | Credit-review briefs live; month-end narrative pilot |
| M12 | KPI review (DSO, overdue AR); handover |